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"much fewer samples" is correct and can be used in written English.
It is typically used when comparing two quantities, with "much" emphasizing a significant difference in quantity. Example: "The new method yielded much fewer samples than the previous one."
Exact(4)
This also shows that, for lower order modulations, we would need much fewer samples.
Compressed sensing (CS) theory is a novel sampling scheme, which indicates that a sparse signal can be recovered from much fewer samples than conventional method [1, 2].
This approach is based on compressive sampling theory [25] [27], which aims to recover a sparse function from much fewer samples than it would be required according to Shannon's sampling theorem.
Pooling allows one to estimate the allele frequency among large numbers of individuals by examining a single or much fewer samples, reducing the workload from hundreds of samples to one or very a few.
Similar(55)
Compressive sensing (CS) can reconstruct sparse signal with much fewer randomized samples than Nyquist sampling with high probability.
It assets that a signal can be recovered with a much fewer randomized samples than Nyquist sampling with high probability on condition that the signal has a sparse representation.
In contrast to the SOM and SVM models, the classifier based on estimated error reduction also provided higher accuracy, precision and recall with the much fewer labeled samples.
The SR-STAP algorithm can accurately estimate CCM or the subspace of clutter with much fewer training samples than the conventional STAP algorithms.
Because there are very many potential types of deletions and much fewer clonal expansions per sample, only a small proportion of possible types of deletions are found in each sample, which explains why two samples typically have almost no deletions in common.
The method requires much fewer replicas for efficient sampling compared with standard temperature Rex MD.
In comparison to the M -plane GaN sample, much fewer stacking faults are present in the A-plane film.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com